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Output and substitution elasticity estimates between renewable and non-renewable energy: implications for economic growth and sustainability in India

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Abstract

The energy profile of India is dominated by fossil fuels, which create concerns over resource and environmental sustainability as fossil fuels are non-renewable and high carbon emitting. This scenario has necessitated the call for more renewables to replace fossil fuels to address resource and environmental sustainability concerns. This study, therefore, investigates the possibility of switching the fossil fuels of oil, coal, and natural gas for renewable energy in India. Using annual Indian data spanning more than four decades, a transcendental logarithmic production function based on a second-order Taylor Series approximation is estimated with the ridge regression technique. To achieve robustness, two equations with gross domestic product and adjusted net savings as regressands are estimated to proxy economic growth and sustainable development, respectively. The empirical results show substantial substitution possibilities between the fuels for both gross domestic product and adjusted net savings equations. The empirical findings show that India has the capacity to satisfy its energy needs through renewables to pursue not only economic growth but sustainable development. To actualize this potential, the Indian government should promote investment in renewables as this also promotes economic growth and development.

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Data availability

The datasets can be obtained from https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html, https://databank.worldbank.org/source/world-development-indicators#,. conference-board.org/data/.

Notes

  1. See Appendix A for the detailed formula for the output elasticity of each of the fuel inputs.

  2. For more details on the elasticity of substitution between the respective inputs, see Appendix B.

  3. ANS provides a more robust representation (relative to net national savings) of sustainable development in that apart from capturing the genuine economic growth in an economy, it also accounts for environmental factors, which are critical elements of sustainable development. Sustainable development encompasses economic, environmental and social aspects and as such it is extremely difficult for a single measure to capture these factors. Just like any other measure of sustainable development, the ANS also has its limitation as it does not adequately capture the social aspect of sustainable development. It nevertheless takes account of the economic and environmental aspects. We have relied on OECD (2004) and Salahodjaev and Jarilkapova (2019) in choosing the ANS as a measure of sustainable development.

  4. . It is noted that variations in the penalty parameters cause the coefficients on the explanatory variables to change until the penalty parameters converge.

  5. We sincerely appreciate one of the anonymous reviewers for pointing out this fact to us.

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SAS conceived the idea of the paper and wrote the introduction, wrote the literature review and discussion in the paper. MOB did the literature review, methodology, and conclusion sections of the paper.

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Correspondence to Sakiru Adebola Solarin.

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Appendices

Output elasticity

Given the general formula in equation (3), the output elasticity for the respective individual input

are given as follows:

Oil: \( {\eta}_{ot}=\frac{\partial \ln {q}_t}{\partial \ln {o}_{ot}}={\alpha}_o+2{\alpha}_{oo}\ln {o}_t+{\alpha}_{or}\ln {r}_t+{\alpha}_{oc}\ln {c}_t+{\alpha}_{og}\ln {g}_t, \)(1b)

Gas: \( {\eta}_{gt}=\frac{\partial \ln {q}_t}{\partial \ln {g}_{gt}}={\alpha}_g+2{\alpha}_{gg}\ln {g}_t+{\alpha}_{gr}\ln {\alpha}_t+{\alpha}_{gc}\ln {c}_t+{\alpha}_{go}\ln {o}_t, \)(2b)

Coal: \( {\eta}_{ct}=\frac{\partial \ln {q}_t}{\partial \ln {c}_{ct}}={\alpha}_c+2{\alpha}_{cc}\ln {c}_t+{\alpha}_{cr}\ln {r}_t+{\alpha}_{cg}\ln {g}_t+{\alpha}_{co}\ln {o}_t, \)(3b)

Renewable: \( {\eta}_{rt}=\frac{\partial \ln {q}_t}{\partial \ln {r}_{rt}}={\alpha}_r+2{\alpha}_{rr}\ln {r}_t+{\alpha}_{rc}\ln {c}_t+{\alpha}_{rg}\ln {g}_t+{\alpha}_{ro}\ln {o}_t, \)(4b)Where ηot, ηgt, ηct, and ηrt respectively stands for the elasticity of output for oil, gas, coal, and renewable energy.

Substitution elasticity

From the general equation given in (5), the specific substitution elasticity between two input fuels are given as follows:

$$ {\sigma}_{go}={\left[1+2\left[{\alpha}_{go}-{\alpha}_{gg}\left({\eta}_o/{\eta}_g\right)-{\alpha}_{oo}\left({\eta}_g/{\eta}_o\right)\right].{\left[{\eta}_g+{\eta}_o\right]}^{-1}\right]}^{-1}, $$
(1c)
$$ {\sigma}_{co}={\left[1+2\left[{\alpha}_{co}-{\alpha}_{cc}\left({\eta}_o/{\eta}_c\right)-{\alpha}_{oo}\left({\eta}_c/{\eta}_o\right)\right].{\left[{\eta}_c+{\eta}_o\right]}^{-1}\right]}^{-1}, $$
(2c)
$$ {\sigma}_{cg}={\left[1+2\left[{\alpha}_{cg}-{\alpha}_{cc}\left({\eta}_g/{\eta}_c\right)-{\alpha}_{gg}\left({\eta}_c/{\eta}_g\right)\right].{\left[{\eta}_c+{\eta}_g\right]}^{-1}\right]}^{-1}, $$
(3c)
$$ {\sigma}_{ro}={\left[1+2\left[{\alpha}_{ro}-{\alpha}_{rr}\left({\eta}_o/{\eta}_r\right)-{\alpha}_{oo}\left({\eta}_r/{\eta}_o\right)\right].{\left[{\eta}_r+{\eta}_o\right]}^{-1}\right]}^{-1}, $$
(4c)
$$ {\sigma}_{rg}={\left[1+2\left[{\alpha}_{rg}-{\alpha}_{rr}\left({\eta}_g/{\eta}_r\right)-{\alpha}_{gg}\left({\eta}_r/{\eta}_g\right)\right].{\left[{\eta}_r+{\eta}_g\right]}^{-1}\right]}^{-1}, $$
(5c)
$$ {\sigma}_{rc}={\left[1+2\left[{\alpha}_{rc}-{\alpha}_{rr}\left({\eta}_c/{\eta}_r\right)-{\alpha}_{cc}\left({\eta}_r/{\eta}_c\right)\right].{\left[{\eta}_r+{\eta}_c\right]}^{-1}\right]}^{-1}, $$
(6c)

Where σgo measures elasticity of substitution between gas and oil, σco is between coal and oil, σcg is between coal and gas while the elasticities between renewable energy and oil, renewable energy and gas, and between renewable energy and coal are respectively measured by σroσrgandσrc.

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Solarin, S.A., Bello, M.O. Output and substitution elasticity estimates between renewable and non-renewable energy: implications for economic growth and sustainability in India. Environ Sci Pollut Res 28, 65313–65332 (2021). https://doi.org/10.1007/s11356-021-15113-9

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